generative AI

Brisk: An All-in-One AI Assistant for Teachers

Nearly all educational apps have incorporated AI in some way to enhance their functionality, and many new educational AI apps have emerged over the past year. This plethora of choices can leave teachers bewildered as to what to choose, but now we are starting to

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TILTing the Use of AI to Reduce Its Risks

The Transparency in Learning and Teaching (TILT) Framework (Winkelmes, 2012, 2016) provides a helpful way to inform and communicate choices about using generative AI tools in higher education. Educators who engage their students in reciprocal, transparent communication about the purposes, processes, and criteria around their

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AI Study Support for Students

While higher education focuses on how to prevent AI from diminishing student learning, over the past few months a number of major AI players have released study modes focused on helping students learn. This development has the potential to close the learning gap by providing

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An AI Podcast Starter Kit

Like many college instructors, I approached this summer with one goal in mind: to figure out my approach to AI once and for all. I assembled a sizable stack of AI-related teaching books and embarked upon my reading program.

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Redesigning Assignments for an AI-Influenced Classroom

What does it mean to succeed without learning? That is a question I have wrestled with since last spring, when students in an introductory programming course I teach submitted assignments with computer code that was unusually advanced, well-structured, efficient, and carefully annotated. But when faced

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Leveraging AI, Gamification, and Mastery Paths in Canvas

Every day, educators encounter the challenge of assisting students in remaining engaged, demonstrating progress, and mastering the curriculum. What strategies can they employ to achieve this? The use of Mastery Paths is a feature in Canvas that allows instructors to customize the learning material to

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Beyond the Red Pen: Reimagining Feedback in an AI-Assisted Era

We’ve all faced it: the daunting stack of student work, each submission representing hours of potential grading. The familiar weight of this task can feel overwhelming, leaving us searching for more effective ways to provide meaningful feedback that truly fuels student learning. While the desire

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